# -*- coding: utf-8 -*-
from datetime import timedelta

from jms_hi.dim.dim_network_whole_massage import jms_dim__dim_network_whole_massage
from jms_hi.ods.tab.tab_barscan_arrival_hi import jms_ods__tab_barscan_arrival_hi
from utils.operators.cluster_for_spark_sql_operator import SparkSqlOperator

jms_dwd__dwd_tab_barscan_arrival_base_hi = SparkSqlOperator(
    task_id='jms_dwd__dwd_tab_barscan_arrival_base_hi',
    email=['shenjiaming@jtexpress.com','yl_bigdata@yl-scm.com'],
    master='yarn',
    name='jms_dwd__dwd_tab_barscan_arrival_base_hi_{{ execution_date | cst_hour }}',
    sql='jms_hi/dwd/tab/dwd_tab_barscan_arrival_base_hi/execute.hql',
    pool_slots=2,
    executor_cores=2 , 
    executor_memory='2G' ,
    num_executors=2 , 
    conf={'spark.dynamicAllocation.enabled'                  : 'true',
          'spark.shuffle.service.enabled'                    : 'true',
        'spark.dynamicAllocation.maxExecutors'             : 4 ,
          'spark.dynamicAllocation.cachedExecutorIdleTimeout': 30,
          'spark.sql.sources.partitionOverwriteMode'         : 'dynamic',
        'spark.executor.memoryOverhead'             : '1G' , 
          },
    hiveconf={'hive.exec.dynamic.partition'             : 'true',  # 动态分区
              'hive.exec.dynamic.partition.mode'        : 'nonstrict',
              'hive.exec.max.dynamic.partitions'        : 300,  # 最大分区
              'hive.exec.max.dynamic.partitions.pernode': 300,  # 最大分区
              },
    yarn_queue='pro',
    execution_timeout=timedelta(minutes=60),
    retries=2,
    sla=timedelta(hours=2),)

jms_dwd__dwd_tab_barscan_arrival_base_hi << [jms_ods__tab_barscan_arrival_hi, jms_dim__dim_network_whole_massage]
